Electric Vehicle Sharing Based "Energy Sponge" Service Interfacing Transportation and Power Systems
Electrical vehicles (EV) by the nature of the technology assume a dual role of both supplying transportation mobility and storing electric power. Thus operations of EV impact both transportation and power grid systems. This study proposes the new concept of 'energy sponge' service by designing an EV sharing system serving both a transportation system and a power market. The proposed model investigates operations of a fleet of EVs that may opt to serve the transportation system when the transportation demand is high or return electricity to the grid when the power price shoots high. A mixed integer programming model is proposed to determine the optimal policy on time allocation of the EV fleet over the two systems. A dynamic programming algorithm is developed to solve the model efficiently. Real-world data on the configurations of these two markets are used to build numerical examples. Sensitivity analyses are constructed to draw insights into the benefits and operational patterns of the service. Overall, this model provides methods and insights for EV fleet managers to decide optimal policies for allocating the EV fleet between transportation and power markets.
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Supplemental Notes:
- This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.
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Corporate Authors:
Transportation Research Board
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Authors:
- Zhao, Dongfang
- Li, Xiaopeng
- Wang, Xin
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Conference:
- Transportation Research Board 98th Annual Meeting
- Location: Washington DC, United States
- Date: 2019-1-13 to 2019-1-17
- Date: 2019
Language
- English
Media Info
- Media Type: Digital/other
- Features: References;
- Pagination: 3p
Subject/Index Terms
- TRT Terms: Dynamic programming; Electric power generation; Electric vehicles; Fleet management; Markets; Mixed integer programming; Vehicle sharing
- Subject Areas: Energy; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01698270
- Record Type: Publication
- Report/Paper Numbers: 19-05617
- Files: TRIS, TRB, ATRI
- Created Date: Mar 1 2019 3:51PM